State of the art, conceptual framework and simulation analysis of the ripple effect on supply chains

Llaguno, Arrate; Bolarín, Francisco Campuzano

doi:10.1080/00207543.2021.1877842

Cited by 68 publications

(19 citation statements)

References 76 publications

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“…The prior outlined works are primarily theoretical in nature and lacks an empirical validation of cascading failures (reviews by Dolgui et al, 2018 , Llaguno et al, 2021 ). We used the graph-theoretical simulation frameworks as a basis to design a novel cascading failure index, which inverses the node removal strategy—adding nodes to a simulated set and benchmarking it against a benchmark set.…”

Section: Research Design Data Description and Methodologymentioning

confidence: 99%

Global shipping network dynamics during the COVID-19 pandemic's initial phases

Dirzka

Acciaro

2022

Journal of Transport Geography

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Catastrophic incidents can significantly disrupt supply chains, but most of these disruptions remain localized. It was not until the onset of COVID-19 that a disruption in our lifetimes achieved a global magnitude. In order to contain the pandemic, governments around the world resorted to closing borders, shutting down manufacturing plants, and imposing lockdowns, which resulted in disrupted production capabilities and weakened consumer spending. The effects of these measures have been clearly visible in global transport networks, where disruptions ripple through the system and serve as a precursor to the disruptions in the broader economy. In this study, we use liner shipping schedule cancellations, a form of serious transport network disruption, as distress signals of the pandemic's impact on global supply chains. Our study applies a three-stage approach and provides insights into operator behaviors when under distress. We show that the pandemic challenged service network integrity and that network disruptions first clustered in Asia before rippling along main trade routes. Agile liner shipping operations, aided by planned service suspensions, prevented the collapse of the global maritime transport networks and indicated the maritime industry's ability to withstand even major catastrophic incidents.

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Section: Research Design Data Description and Methodologymentioning

confidence: 99%

Global shipping network dynamics during the COVID-19 pandemic's initial phases

Dirzka

Acciaro

2022

Journal of Transport Geography

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“…Based on real-life scenarios encountered in German food SCs during the COVID-19 pandemic, we have developed and used a discrete-event simulation model to examine the impact of the pandemic on SC operations and performance. Previous research has provided strong and substantial insights about how to evaluate, measure, and improve resilience in SCs using simulations ( Wilson, 2007 , Carvalho et al, 2012 , Ghadge et al, 2013 , Schmitt et al, 2017 , Macdonald et al, 2018 , Currie et al, 2020 , Ivanov and Dolgui, 2021a , Llaguno et al, 2021 ). For example, Olivares-Aguila and ElMaraghy (2020) have suggested an evaluation framework for SC resilience using system dynamics simulation.…”

Section: Introductionmentioning

confidence: 99%

Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions

Burgos

Ivanov

2021

Transportation Research Part E: Logistics and Transportation Re

300

112

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“…In 1992, Goyal and Deshmukh [6] examined 39 works published from 1976 to 1992 on the IPP topic. Several systematic literature reviews on the supply chain have recently been published, together with inventory models for low-quality items [1], consequence and supply chain disruption management [7], empirical model and numerical simulations of the huge influence [8], and the role of big data analytics in supply chain management [9]. Following Goyal and Deshmukh's evaluations, there are no studies on IPP concerns.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Constraint (7) shows the equilibrium flow of raw materials, except for the brass metal, in raw material storage. Constraint (8) shows the flow equilibrium of brass in the raw material warehouse. Constraint (9) states the capacity limitation of suppliers in supplying raw materials.…”

Section: E Proposed Mathematical Modelmentioning

confidence: 99%

Providing a Multiproduct and Multiperiodic Model for Closed‐Loop Green Supply Chain under Conditions of Uncertainty Based on a Fuzzy Approach for Solving Problem of Business Market

Lagzaie

Hamzehee

2022

Complexity

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Many organizations must adjust their supply chains and business environments to remain competitive and retain market share. However, despite the benefits of such developments for organizations, they can lead to supply chain disruptions in many cases. An essential aspect of modern organizations is closed-loop supply chain management, which reduces risk by coordinating processes. This paper presents a mathematical model of a closed-loop green supply chain under uncertain conditions. A detailed description of the model and current assumptions for a specific industry are provided. Consequently, the model is developed with several relevant objectives for the design of the network. Our proposed model has the following characteristics: being multiobjective, multiproduct, and multiperiodic. Our analysis indicates that the applied model can be used both to increase profitability and to reduce environmental damage. The problem was made more uncertain using fuzzy logic. Torabi and Hassini (TH) method is combined with Jiménez’s proposed method to solve the problem.

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State of the art, conceptual framework and simulation analysis of the ripple effect on supply chains

Cited by 68 publications

References 76 publications

Global shipping network dynamics during the COVID-19 pandemic's initial phases

Global shipping network dynamics during the COVID-19 pandemic's initial phases

Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions

Providing a Multiproduct and Multiperiodic Model for Closed‐Loop Green Supply Chain under Conditions of Uncertainty Based on a Fuzzy Approach for Solving Problem of Business Market

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